app.py

from reportlab.pdfgen import canvas
from reportlab.pdfbase.ttfonts import TTFont
from reportlab.pdfbase import pdfmetrics
from PyPDF2 import PdfReader
from PyPDF2 import PdfWriter
import openai
import uuid
import os
import gradio as gr

# 確保字體文件和模板文件存在於同一目錄
pdfmetrics.registerFont(TTFont("ArialUnicode", "./Arial Unicode.ttf"))

def draw_data_on_template(template_path, name, email, phone, education, experience, skills, social_media):
    try:
        temp_pdf_path = f"./{uuid.uuid4()}_temp.pdf"
        c = canvas.Canvas(temp_pdf_path)
        c.setFont("ArialUnicode", 22)
        c.drawString(15, 750, f"Name: {name}")
        c.drawString(15, 680, f"Email: {email}")
        c.drawString(15, 610, f"Phone: {phone}")
        c.drawString(15, 540, f"Education: {education}")
        c.drawString(15, 470, f"Work Experience: {experience}")
        c.drawString(15, 340, f"Skills: {skills}")
        c.drawString(15, 200, f"Social Media: {social_media}")
        c.save()

        # 加載模板 PDF
        reader = PdfReader(template_path)
        template_page = reader.pages[0]
        content_reader = PdfReader(temp_pdf_path)
        content_page = content_reader.pages[0]
        template_page.merge_page(content_page)

        merged_pdf_path = f"./{uuid.uuid4()}_merged.pdf"
        writer = PdfWriter()
        writer.add_page(template_page)
        with open(merged_pdf_path, "wb") as output_file:
            writer.write(output_file)
        os.remove(temp_pdf_path)
        return merged_pdf_path
    except Exception as e:
        return f"Error in Drawing Data on Template: {str(e)}"

def recommend_jobs(api_key, skills):
    try:
        openai.api_key = api_key
        skills_list = [skill.strip() for skill in skills.split(",") if skill.strip()]
        if not skills_list:
            return "Error: No valid skills provided."
        prompt = f"請用正體中文回覆，根據以下技能推薦適合的職位：{', '.join(skills_list)}"
        response = openai.ChatCompletion.create(
            model="gpt-4",
            messages=[{"role": "user", "content": prompt}]
        )
        if not response.choices:
            return "Error: OpenAI API returned no results."
        return response.choices[0].message['content'].strip()
    except Exception as e:
        return f"Error in Job Recommendation: {str(e)}"

def validate_and_process(api_key, name, email, phone, education, experience, skills, social_media):
    errors = []
    if not name.strip():
        errors.append("Name不能為空.")
    if not email.strip():
        errors.append("Email不能為空.")
    if not phone.strip():
        errors.append("Phone不能為空.")
    if not education.strip():
        errors.append("Education不能為空.")
    if not skills.strip():
        errors.append("Skills不能為空.")

    if errors:
        return None, "\n".join(errors), "請填寫完整後重試！"

    template_path = "./resume_null.pdf"  # 確保模板文件上傳至同一目錄
    merged_pdf = draw_data_on_template(template_path, name, email, phone, education, experience, skills, social_media)
    if isinstance(merged_pdf, str) and merged_pdf.startswith("Error"):
        return None, merged_pdf, "Merging with template failed."

    job_recommendations = recommend_jobs(api_key, skills)
    if job_recommendations.startswith("Error"):
        return merged_pdf, "Resume generated successfully!", job_recommendations
    return merged_pdf, "Resume generated successfully!", job_recommendations

with gr.Blocks() as demo:
    gr.Markdown("# 自動生成簡歷工具")
    api_key = gr.Textbox(label="OpenAI API Key", placeholder="請輸入您的 OpenAI API Key", type="password")
    name = gr.Textbox(label="Name（必填）", placeholder="例：王小明")
    email = gr.Textbox(label="Email（必填）", placeholder="a1234567890@example.com")
    phone = gr.Textbox(label="Phone（必填）", placeholder="0912345678")
    education = gr.Textbox(label="Education（必填）", placeholder="例：學位、主修、學校")
    experience = gr.Textbox(label="Work Experience", placeholder="例：實習、兼職工作")
    skills = gr.Textbox(label="Skills（必填）", placeholder="例：Python, Teaching, Data Analysis (多項技能用,分隔)")
    social_media = gr.Textbox(label="Social Media", placeholder="例：LinkedIn URL")
    pdf_output = gr.File(label="Download Your Resume")
    status = gr.Textbox(label="Status / Error", interactive=False)
    job_recommendations = gr.Textbox(label="Recommended Jobs", interactive=False)

    generate_button = gr.Button("Generate Resume & Recommend Jobs")
    generate_button.click(
        validate_and_process,
        inputs=[api_key, name, email, phone, education, experience, skills, social_media],
        outputs=[pdf_output, status, job_recommendations]
    )

demo.launch()